LaCrosse, Inc., sales manager Josh Brown has been receiving calls from customers complaining about the length of time it takes to receive an order. To help him understand the issue, he gathered the following information from DanGold Enterprises’ most recent order.

Days Required
Process customer order 0.2
Wait for direct materials to arrive 4.0
Fabrication of parts 3.0
Move order to assembly department 0.6
Wait for machine time 6.5
Assembly of parts 4.0
Move order to finishing department 0.3
Wait for machine time 3.0
Finishing of units 5.0
Move to packing department 0.7
Packing 1.9
Move to shipping department 0.2
Load delivery truck 0.5
Drive to customer 1.5
Unload delivery truck 0.5
Return to plant 2.0

[Incorrect answer.] Your answer is incorrect. Try again.

(a) Calculate the delivery cycle time for DanGold’s order. (Round answer to 1 decimal place, e.g. 12.5.)

Delivery cycle time

days

(b) Calculate the manufacturing cycle time for DanGold’s order. (Round answer to 1 decimal place, e.g. 12.5.)

Manufacturing cycle time

days

(c) Calculate the value-added time for DanGold’s order. (Round answer to 1 decimal place, e.g. 12.5.)

Value-added time

days

LINK TO TEXT

[Incorrect answer.] Your answer is incorrect. Try again.

(d) Calculate the manufacturing cycle efficiency for DanGold’s order. (Round answer to 0 decimal places, e.g. 51%.)

Manufacturing cycle efficiency

%

Expected returns

Stocks A and B have the following probability distributions of expected future returns:

1. Calculate the expected rate of return, r_B, for Stock B (r_A = 10.10%.) Do not round intermediate calculations. Round your answer to two decimal places.
   %

2. Calculate the standard deviation of expected returns, σ_A, for Stock A (σ_B = 26.59%.) Do not round intermediate calculations. Round your answer to two decimal places.
   %

3. Now calculate the coefficient of variation for Stock B. Round your answer to two decimal places.

4. Is it possible that most investors might regard Stock B as being less risky than Stock A?

   1. If Stock B is more highly correlated with the market than A, then it might have a higher beta than Stock A, and hence be less risky in a portfolio sense.
   2. If Stock B is more highly correlated with the market than A, then it might have a lower beta than Stock A, and hence be less risky in a portfolio sense.
   3. If Stock B is more highly correlated with the market than A, then it might have the same beta as Stock A, and hence be just as risky in a portfolio sense.
   4. If Stock B is less highly correlated with the market than A, then it might have a lower beta than Stock A, and hence be less risky in a portfolio sense.
   5. If Stock B is less highly correlated with the market than A, then it might have a higher beta than Stock A, and hence be more risky in a portfolio sense.

Silver Lining Inc. has a balanced scorecard with a strategy map that shows that delivery time and the number of erroneous shipments are expected to affect the company’s ability to satisfy the customer. Further, the strategy map for the balanced scorecard shows that the hours from ordered to delivered affects the percentage of customers who shop again, and the number of erroneous shipments affects the online customer satisfaction rating. The following information is also available:

• The company’s target hours from ordered to delivered is 30.
• Every hour over the ordered-to-delivered target results in a 0.5% decrease in the percentage of customers who shop again.
• The company’s target number of erroneous shipments per year is no more than 60.
• Every error over the erroneous shipments target results in a 0.5 point decrease in the online customer satisfaction rating and an added future financial loss of $800.
• The company estimates that for every 1% decrease in the percentage of customers who shop again, future profit decreases by $4,000 and market share decreases by 0.3%.
• The company also estimates that for every 1 point decrease in the overall online customer satisfaction rating (on a scale of 1 to 10), future profit decreases by $4,000 and market share decreases by 0.6%.

Using these estimates, determine how much future profit and future market share will change if:

• Average hours from ordered to shipped is 28.5.
• Average shipping time (hours from shipped to delivered) is 15.3.
• Number of erroneous shipments is 80.

Total decrease in future profit $

Round your answer to two decimal places.

Total decrease in future market share %

7. According to the absorption approach, the economic circumstances that best warrant a currency devaluation is where the domestic economy faces:

8. Assume an economy operates at full employment and faces a trade deficit. According to the absorption approach, currency devaluation will improve the trade balance if domestic:

10. The Marshall-Lerner condition deals with the impact of currency depreciation on:

11.  American citizens planning a vacation abroad would welcome:

12. Assume the Canadian demand elasticity for imports equals 0.2, while the foreign demand elasticity for Canadian exports equals 0.3. Responding to a trade deficit, suppose the Canadian dollar depreciates by 20 percent. For Canada, the depreciation would lead to a:

We all know the Earth exerts gravity on us, but other objects in the solar system also pull on us. In the following series of problems we will investigate how strong gravity is for a person standing on the surface of the Earth from various objects in the solar system. You can answer the following series of questions using Newton's Law of Gravity; use the units given and the Gravitational Constant, G = 6.67 ×10-11 m3/kg/s2.

1. What is the force of gravity due to the Earth on a 46.0 kg ASTR 110 student standing on the equator during Spring Break. DATA: Equatorial radius of the Earth 6.378×10⁶ meters; mass of the Earth 5.98×10²⁴ kg.
2. What is the force of gravity due to the Moon on a 46.0 kg ASTR 110 student standing on the equator during Spring Break. DATA: mean distance to the Moon 3.84×10⁸ meters; mass of the Moon 7.36×10²² kg.
3. When Jupiter is on the same side of the Sun as the Earth the distance between the Earth and Jupiter can be as small as 6.30×10¹¹ m. Knowing this, what is the maximum force of gravity due to Jupiter on a 46.0 kg ASTR 110 student standing on the equator during Spring Break. DATA: Mass of Jupiter = 1.90×10²⁷ kg.
4. Some people claim that the location of Jupiter can have dramatic consequences on human events on Earth. For comparison to the last problem, what is the force of gravity due to a 100 kg person hugging a 46.0 kg ASTR 110 student. Assume the distance between the students is 0.3 meters.

Problem 6 (Inference via Bayes’ Rule)
Suppose we are given a coin with an unknown head probability θ ∈ {0.3,0.5,0.7}. In order to infer the value θ, we experiment with the coin and consider Bayesian inference as follows: Define events A1 = {θ = 0.3}, A2 = {θ = 0.5}, A3 = {θ = 0.7}. Since initially we have no further information about θ, we simply consider the prior probability assignment to be P(A1) = P(A2) = P(A3) = 1/3.
(a) Suppose we toss the coin once and observe a head (for ease of notation, we define the event B = {the first toss is a head}). What is the posterior probability P(A1|B)? How about P(A2|B) and P(A3|B)? (Hint: use the Bayes’ rule)
(b) Suppose we toss the coin for 10 times and observe HHTHHHTHHH (for ease of notation, we define the event C = {HHTHHHTHHH}). Moreover, all the tosses are known to be independent. What is the posterior probability P(A1|C), P(A2|C), and P(A3|C)? Given the experimental results, what is the most probable value for θ?
(c) Given the same setting as (b), suppose we instead choose to use a different prior probability assignment P(A1) = 2/5,P(A2) = 2/5,P(A3) = 1/5. What is the posterior probabilities P(A1|C), P(A2|C), and P(A3|C)? Given the experimental results, what is the most probable value for θ?

The accompanying data set provides the closing prices for four stocks and the stock exchange over 12 days:

Using Excel's Data Analysis Exponential Smoothing tool, forecast each of the stock prices using simple exponential smoothing with a smoothing constant of 0.3.

For example, help me to understand how to complete the exponential smoothing forecast model for Stock A.

Date Forecast A

9/3/2010 ____

9/7/2010 ____

9/8/2010 ____

9/9/2010 ____

9/10/2010 ____

9/13/2010 ____

9/14/2010 ____

9/15/2010 ____

9/16/2010 ____

9/17/2010 ____

9/20/2010 ____

9/21/2010 ____

The accompanying data set provides the closing prices for four stocks and the stock exchange over 12 days:

With the help of the Excel Exponential Smoothing tool, I was able to forecast each of the stock prices using simple exponential smoothing with a smoothing constant of 0.3 (ie, damping factor of 0.7). I was also able to calculate the MAD of each of the stocks:

MAD of Stock A = 1.32

MAD of Stock B = 0.37

MAD of Stock C = 0.41

MAD of Stock D = 0.26

MAD of Stock Exchange = 83.85

Help me to calculate the Mean Square Error (MSE) of the stocks.